Ready to expand the limits of AI security research? NVIDIA’s Agentic Cybersecurity Research team is searching for a motivated AI Security Researcher to innovate and improve the protection of AI models, systems, and infrastructure. Come work with us, where your knowledge will contribute to developing advanced technology that secures AI and systems through AI.
Our work in Security and AI is globally visible and helps drive the frontier of the whole industry. We are looking for a researcher with hands-on safety and security experience in agents to help us innovate and improve protection of AI models, systems and infrastructure. In this role you will research and develop technology that secures AI and systems using AI.
What you'll be doing:
- Novel and creative research on improving cybersecurity and AI. Our work focuses both on using models and agents to improve cybersecurity, as well as securing models and agents.
- Contribute research on new and exciting problems in AI and security. The world needs secure systems and needs AI to be safe and secure. As stewards of AI, at NVIDIA you will help address the problems in this space.
- Developing tools and processes to expose or remediate novel weaknesses in conventional and AI systems.
- Presenting results, by publishing them in peer-reviewed venues, or sharing them with the security, machine learning, and business communities in other ways.
- Improving AI and security at NVIDIA by sharing your results with other teams across the company and solving relevant problems in a wide range of contexts.
What we need to see:
- Master’s or PhD Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience).
- Experience of 5+ years in machine learning, cybersecurity, or closely related fields.
- Shown programming expertise.
- Outstanding knowledge of AI and conventional software weaknesses and mitigation strategies.
- In-depth understanding of Generative AI workflows.
- Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings.
- Motivated and curious about new technologies.
- Ability to present sophisticated technical information clearly.
Ways to stand out from the crowd:
- Tight-knit collaboration skills with a history of successful cross-functional projects.
- Discovered CVEs, built successful tooling.
- Knowledge of adversarial machine learning and techniques to defend against adversarial techniques.
- Experience with secure software development practices.
- Ability to build human-friendly resources.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Master's or PhD degree in Computer Science, Computer Engineering, Data Science, or a related field, or equivalent experience
- 5+ years of experience in machine learning, cybersecurity, or closely related fields
- Demonstrated programming expertise
- Strong knowledge of AI and conventional software weaknesses and mitigation strategies
- In-depth understanding of Generative AI workflows
- Ability to present sophisticated technical information clearly
- Experience collaborating cross-functionally on successful projects
- Experience discovering CVEs and building successful security tooling
- Knowledge of adversarial machine learning and defensive techniques
- Experience with secure software development practices
- Ability to build human-friendly resources
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
